Effective Machine Learning Teams : Best Practices for ML Practitioners
David Tan
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Modern Fortran Explained : Incorporating Fortran 2023
Mr Michael (Formerly of CERN, Geneva, Switzerland) Metcalf
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TinyML Cookbook : Combine machine learning with microcontrollers to solve real-world problems
Gian Marco Iodice
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Graph Algorithms for Data Science
Tomaz Bratanic
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Math For Security : From Graphs and Geometry to Spatial Analysis
Daniel Reilly
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Enumerative Combinatorics: Volume 2
Richard (Massachusetts Institute of Technology) Stanley
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Matrix Algebra : Theory, Computations and Applications in Statistics
James E. Gentle
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Matrix Algebra : Theory, Computations and Applications in Statistics
James E. Gentle
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Application-Specific Arithmetic : Computing Just Right for the Reconfigurable Computer and the Dark Silicon Era
Florent de Dinechin
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Teilchen, Felder und Krafte : Ein konzeptioneller Leitfaden zur Quantenfeldtheorie und dem Standardmodell
Wouter Schmitz
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Graphs and Combinatorial Optimization: from Theory to Applications : CTW 2023, Garmisch-Partenkirchen, Germany, June 20-22
Andreas Brieden
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Audit Analytics : Data Science for the Accounting Profession
J. Christopher Westland
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Grundlagen der Kryptographie : Einfuhrung in die mathematischen und algorithmischen Grundlagen
Duncan Buell
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Computational Stochastic Programming : Models, Algorithms, and Implementation
Lewis Ntaimo
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Coding Examples from Simple to Complex : Applications in MATLAB(R)
Paul A. Gagniuc
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Coding Examples from Simple to Complex : Applications in Python(TM)
Paul A. Gagniuc
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Coding Examples from Simple to Complex : Applications in JavaScript(TM)
Paul A. Gagniuc
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